Runze Shang
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- Circular RNAs in diseases 6
- RNA modifications and cancer 5
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- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 6
- Cancer, Hypoxia, and Metabolism 6
- Cancer, Lipids, and Metabolism 4
- Co-authors
- Shibin Qu (8 shared papers)Haimin Li (5 shared papers)Xisheng Yang (8 shared papers)Jianlin Wang (10 shared papers)Kefeng Dou (4 shared papers)Xiaolei Li (2 shared papers)Wei Sun (1 shared paper)Yuan Gao (1 shared paper)
- Journals
- Hepatology (4 papers)Cell Death and Disease (3 papers)Tumor Biology (3 papers)Oncology Reports (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Runze Shang
31 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Cancer Research 2.0k
- Molecular Biology 2.4k
- Hepatology 109
- Pathology and Forensic Medicine 143
- Oncology 173
Countries citing papers authored by Runze Shang
This map shows the geographic impact of Runze Shang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Runze Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runze Shang more than expected).
Fields of papers citing papers by Runze Shang
This network shows the impact of papers produced by Runze Shang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Runze Shang. The network helps show where Runze Shang may publish in the future.
Co-authors
The 25 scholars most cited alongside Runze Shang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Circular RNA: A new star of noncoding RNAs Hit paper breakdown → | 2015 | 1419 |
| 2 | 2016 | 337 | |
| 3 | 2016 | 103 | |
| 4 | 2019 | 82 | |
| 5 | 2022 | 77 | |
| 6 | 2020 | 75 | |
| 7 | 2020 | 73 | |
| 8 | 2018 | 59 | |
| 9 | 2015 | 51 | |
| 10 | 2016 | 42 | |
| 11 | 2019 | 40 | |
| 12 | 2017 | 38 | |
| 13 | Insulin-like growth factor binding protein-1 inhibits cancer cell invasion and is associated with poor prognosis in hepatocellular carcinoma. | 2014 | 37 |
| 14 | 2018 | 35 | |
| 15 | 2017 | 34 | |
| 16 | 2017 | 29 | |
| 17 | 2020 | 27 | |
| 18 | 2017 | 25 | |
| 19 | 2015 | 22 | |
| 20 | 2018 | 21 |
About Runze Shang
Runze Shang is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Cancer Mechanisms and Therapy (6 papers), RNA modifications and cancer (5 papers), Cancer, Lipids, and Metabolism (4 papers) and Liver physiology and pathology (4 papers). The work is most often cited by research in Cancer Research (2.0k citations), Molecular Biology (2.4k citations), Hepatology (109 citations), Pathology and Forensic Medicine (143 citations) and Oncology (173 citations). Runze Shang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shibin Qu, Haimin Li, Xisheng Yang, Jianlin Wang, Kefeng Dou, Xiaolei Li, Wei Sun, Yuan Gao, Desheng Wang and Wenjie Song. Their work appears in journals such as Hepatology, Cell Death and Disease, Tumor Biology, Oncology Reports and Oncotarget.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.